Multiple-window anomaly detection for hyperspectral imagery

WM Liu, CI Chang - IEEE Journal of Selected Topics in Applied …, 2013 - ieeexplore.ieee.org
Due to advances of hyperspectral imaging sensors many unknown and subtle targets that
cannot be resolved by multispectral imagery can now be uncovered by hyperspectral …

Construction of a Semiautomatic Contour of Areal Objects on Hyperspectral Satellite Images

B Lei, W Wan, A Nedzved, A Belotserkovsky - Pattern Recognition and …, 2024 - Springer
In this article, we formalize the problem of semiautomatic construction of the contour of area
objects from satellite hyperspectral images and present a solution algorithm using PCA and …

Target detection of hyperspectral imagery on FPGAs

JM Bárez Alonso - 2020 - docta.ucm.es
In recent years there has been a resurgence in the space race, motivated especially by
commercial companies. Their aircrafts are equipped with a multitude of sensors, one of them …

[PDF][PDF] TARGET DETECTION OF HYPERSPECTRAL IMAGERY ON FPGAS DETECCIÓN DE OBJETIVOS EN IMÁGENES HIPERESPECTRALES SOBRE FPGAS

JMB Alonso - 2020 - fdi.ucm.es
In recent years there has been a resurgence in the space race, motivated especially by
commercial companies. Their aircrafts are equipped with a multitude of sensors, one of them …

Efficient and Scalable Techniques for Multivariate Time Series Analysis and Search

A Kane - 2017 - spectrum.library.concordia.ca
Innovation and advances in technology have led to the growth of time series data at a
phenomenal rate in many applications. Query processing and the analysis of time series …

Multiple Window Anomaly Detection

CI Chang, CI Chang - Real-Time Progressive Hyperspectral Image …, 2016 - Springer
Because of advances in hyperspectral imaging sensors, many unknown and subtle targets
that cannot be resolved by multispectral imagery can now be uncovered by hyperspectral …

[引用][C] Appendix A: Matrix Identities

 ÃÀ, À ÁÀ, À ÁÀ, À ÁT, È ÉÀ - 2017